Sift

Sift

Fraud detection and prevention solutions provider

About Sift

Simplify's Rating
Why Sift is rated
B+
Rated B on Competitive Edge
Rated A on Growth Potential
Rated B on Rating Differentiation

Industries

Fintech

AI & Machine Learning

Company Size

201-500

Company Stage

Series E

Total Funding

$152.3M

Headquarters

San Francisco, California

Founded

2011

Overview

Sift provides fraud detection and prevention solutions specifically designed for e-commerce and fintech companies. Its main product, the Digital Trust & Safety platform, uses machine learning and artificial intelligence to analyze large amounts of data in real-time. This allows Sift to identify and block fraudulent activities while ensuring that legitimate transactions proceed without unnecessary delays. Unlike many competitors, Sift offers a subscription-based model that allows clients to access its platform and additional services tailored to their needs. The company aims to help businesses reduce costs associated with chargebacks and account takeovers, while also maintaining customer trust in a digital environment.

YC Company
Simplify Jobs

Simplify's Take

What believers are saying

  • Sift's acquisition of Keyless enhances secure, frictionless authentication capabilities.
  • Growing demand for AI-driven fraud prevention tools boosts Sift's market potential.
  • Increased focus on payee verification methods aligns with Sift's fraud prevention strategies.

What critics are saying

  • Emerging startups in the market threaten Sift's market share with competitive solutions.
  • Sophisticated AI-driven fraud techniques challenge Sift's current detection algorithms.
  • Regulatory changes in data privacy laws may impact Sift's data handling processes.

What makes Sift unique

  • Sift pioneers Digital Trust & Safety, balancing revenue growth and business protection.
  • Sift's platform integrates seamlessly, ensuring smooth legitimate transactions and blocking fraud.
  • Sift leverages AI and machine learning for real-time fraud detection and prevention.

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Funding

Total Funding

$152.3M

Below

Industry Average

Funded Over

6 Rounds

Series E funding typically includes additional rounds after Series D if the company needs more capital. The business is usually stable, and these rounds are typically used for further expansion or to address market challenges.
Series E Funding Comparison
Below Average

Industry standards

$100M
$245M
Stripe
$250M
Reddit
$1250M
Epic Games
$1500M
Airbnb

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

0%
SpaceNews
Jun 25th, 2024
Sift raises $17.5M in Series A

Southern California startup Sift raised $17.5 million in a Series A funding round led by Google Ventures. Announced on June 25, the investment will help Sift expand its staff and accelerate the development of its platform, which aids engineers in analyzing hardware sensor data. Sift's automated data review product generates reports to highlight potential issues, benefiting industries like aviation, defense, energy, and transportation.

GlobeNewswire
Nov 17th, 2021
Sift Acquires Passwordless Authentication Pioneer Keyless to Provide Regulated Businesses and Online Merchants with Secure, Frictionless Authentication

Biometric authentication innovator eliminates password-based account takeover and enables PSD2 Strong Customer Authentication while preserving user privacy

TechCrunch
Apr 22nd, 2021
Fraud prevention platform Sift raises $50M at over $1B valuation, eyes acquisitions

With the increase of digital transacting over the past year, cybercriminals have been having a field day.

PYMNTS
Oct 8th, 2020
The Ordering Innovations Attracting Restaurant Customers

This Deep Dive explores how restaurants are using innovative dining and ordering technology to satisfy customer needs amid the COVID-19 pandemic.

PYMNTS
Sep 22nd, 2020
Deep Dive: How QSRs Can Fight The Rise Of App-Enabled Friendly Fraud

This Deep Dive examines how the increased use of mobile apps has led to a rise in friendly fraud and how AI and machine learning can help fight it.

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